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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Marketplace and no-code builder for AI mini-apps and chatbots, with one-place access to many models and embeds.
No public pricing
Free trial available
No public pricing
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- ✦Self-updating documentation
- ✦Web-based documentation editor
- ✦Custom domain hosting
- ✦Built-in search and API playground
- ✦MCP server for agent access
- ✦Authentication and access controls
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Access to many AI models in one place
- ✦Create no-code AI mini-apps and chatbots
- ✦Community app/game marketplace
- ✦Embed apps on websites
- ✦Image, audio and video generation apps
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics
- →Publish and maintain developer documentation
- →Expose docs to AI agents via MCP
- →Host a branded docs site on a custom domain
- →Give teams a collaborative doc editor
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Building custom AI chatbots
- →Discovering community AI apps
- →Embedding AI apps on a site
- →Generating images, music and text